Towards More Accurate Prediction of Human Empathy and Emotion in Text and Multi-turn Conversations by Combining Advanced NLP, Transformers-based Networks, and Linguistic Methodologies.
Manisha SinghDivy SharmaAlonso MaNora GoldfinePublished in: CoRR (2024)
Keyphrases
- natural language processing
- linguistic analysis
- virtual humans
- free text
- text mining
- natural language
- broad coverage
- computational linguistics
- text analysis
- prediction accuracy
- human decision making
- lexical semantics
- text processing
- emotional state
- virtual agents
- text to speech synthesis
- multi party
- natural language text
- text generation
- information extraction
- human subjects
- artificial intelligence
- human communication
- language generation
- conversational speech
- text summarization
- linguistic knowledge
- linguistic information
- question answering
- hand crafted
- textual entailment
- statistical natural language processing
- human emotion
- natural language generation
- language processing
- data mining
- facial expressions
- text documents
- machine learning
- wordnet
- natural language understanding
- lexical resources
- video sequences
- affective states
- emotion recognition
- linguistic patterns
- virtual reality
- syntactic structures
- semantic representations
- semantic relations
- affect sensing